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Amazon Exam AIF-C01 Topic 3 Question 4 Discussion

Actual exam question for Amazon's AIF-C01 exam
Question #: 4
Topic #: 3
[All AIF-C01 Questions]

Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?

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Suggested Answer: B

by Veronika at Sep 06, 2024, 11:13 AM

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Jenelle
10 days ago
Wait, did anyone else think option A was talking about shrinking the model like a laundry mishap? 'Helps decrease the model's complexity' - what is this, model dry cleaning?
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Keshia
19 days ago
I believe ongoing pre-training can optimize model inference time as well.
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Barrett
20 days ago
But wouldn't it also help decrease the model's complexity?
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Ahmed
21 days ago
I agree with Melvin, it makes sense to build on a strong foundation.
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King
26 days ago
Hmm, I was going to choose D, but then I realized that's more about optimizing the final model, not the pre-training process. B is the winner!
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Nidia
4 days ago
I agree, B improves model performance over time.
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Dalene
11 days ago
I think B is the best option.
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Mollie
30 days ago
While options C and D sound nice, they are not the main purpose of ongoing pre-training. B is the best answer here.
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Lenna
1 months ago
I agree with Mickie. Option B makes the most sense. Improving model performance is the primary benefit of this approach.
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Dallas
20 days ago
I think option B is the best choice.
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Mickie
1 months ago
Option B is clearly the correct answer. Ongoing pre-training helps the model continuously learn and improve its performance over time. This is the whole point of fine-tuning a foundation model.
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Kallie
13 days ago
User 2: I agree, ongoing pre-training definitely improves model performance.
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Tasia
15 days ago
User 1: I think option B is the best choice.
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Melvin
1 months ago
I think ongoing pre-training helps improve model performance over time.
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